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HALL OF FAME

For Students Who have Overcome the Odds

X+1 - IoT Datathon 2.0

Team Member:

Cheong Yu Jia, Chow Chang Hoong, Nguyen Ta Duy, Tran Hoang Bao Linh, Wu Yuzhe 

 

Challenge:

Power Consumption Optimization for Chiller Plants

 

Solutions developed:

Multi-Model AI-Based Prediction and Optimization Systems for Chiller Plants and Cooling Tower

 

Testimonials:

"The IoT Datathon was my two "first"-s: first time participating in the external contest and first time solving a real-world problem with direct and immediate application. There were a lot of challenges we faced during the contest; the difficulty of the problem and the vastness of the data. We had to fight our own nervousness and motivate ourselves to keep going. In the end, it was worth the pain as we managed to learn a lot in terms of technicality and problem-solving skills, got recognised for our solution and most importantly, the confidence to tackle practical problems, knowing that we are capable of producing work that matters." - Trang Hoang Bao Linh

 

Euclidean Win - IoT Datathon 2.0

Team Member:

Sean Ng Peng Nam, Michael Lee, Ahan Gupta, Louiz Kim-Chan Tze Hui

 

Challenge:

Local Flood Forecasting

 

Solutions developed:

Real-time Flood Early Warning and Water Level Prediction System

 

Testimonials:

“The deep learning concepts taught during IoT Datathon was excellent. The fact that TerraAI introduced real-world problem set during the workshop allowed me to apply the concepts right away and learn from the experience, which is something that online courses or other competitions do not offer."  - Sean Ng Peng Nam

 

Krystl - IoT Datathon 2.0

Team Member:

Muhammad Saifullah, Chin Chia Joo

 

Challenge:

Power Consumption Optimization for Chiller Plants

 

Solutions developed:

AI-Based Power Optimization Auto-Tuning System for Chiller Plant

 

Testimonials:

"At first, I had no clue about neural network and artificial intelligence. IoT Datathon was an eye-opening experience for me as we learnt essential pieces of deep learning concepts to build AI models and solve real-world problems. It gives me ability and confidence to pursue a career related to deep learning in the future.“ - Muhammad Saifullah

 

Sababa - IoT Datathon 1.0

Team Member:

Kenny Chong, Liu Nairong, Daren Lau, Zhai Yunjie 

 

Challenge:

Predictive Maintenance for Photovoltaic Systems

 

Solutions developed:

An Early Warning System for Equipment Breakdown

 

Testimonials:

“IoT Dataton taught us the value and potential of data in generating critical and actionable insights. It is a practical and hands-on way to get a chance to solve real problems in the organization. It's a great way to challenge myself and learn new skills not taught in my major.”

– Zhai Yunjie

 

Team26 - NUS Data Science Competition 2018

Team Member:

Cai Ting, Sun Dongfang, Zhu Kexin, Zou Youtong

 

Challenge:

Geospatial Singapore Rainfall Radar Calibration

 

Solutions developed:

Automated Rainfall Radar Calibration using Multiple AI Models

 

Testimonial:

"Data Science Competition let us have a glimpse of the real-world data science industry. We got to know what is a typical procedure to fix a data science problem and get some datasets that are more relevant to the real-world than those we got from the school. We learn how to apply our machine learning skills, data analysis skills into application and also listened to the ideas from other competitors." - Cai Ting